Empirical comparison of microsatellite and SNP markers to estimate introgression in Apis mellifera mellifera. Issue 4 (8th August 2018)

• Record Type: Journal Article
• Authors: Parejo, Melanie; Henriques, Dora; Pinto, M. Alice; Soland-Reckeweg, Gabriele; Neuditschko, Markus
• Is Part Of: Journal of apicultural research. Volume 57:Issue 4(2018)
• Page Start: 504
• Page End: 506
• Publication Date: 2018-08-08
• Subjects: Apis mellifera mellifera -- introgression -- microsatellites -- SNPs -- conservation; Bee culture -- Periodicals; Bee culture; Periodicals; 638.105
• DOI: 10.1080/00218839.2018.1494894
• Languages: English
• ISSNs: 0021-8839

Abstract

Abstract : The genetic identity of the dark European honey bee, Apis mellifera mellifera is currently under pressure throughout most of its native range due to large scale commercial trade and replacement with honey bees of mainly Eastern European ancestry (C-lineage: Apis mellifera carnica and Apis mellifera ligustica ). To counteract this process, numerous conservation efforts for the protection of native honey bees are sprouting across Europe. For the management of such protected areas and conservation breeding purposes, honey bee subspecies have been routinely identified through wing morphology and through DNA-hybrid tests using microsatellite markers. Currently, new methods are evolving including rapid innovations in single-nucleotide polymorphism (SNP) array technology and high-throughput sequencing. Here, we aim to quantify potential marker-specific biases of hybrid tests and give recommendations for applications in honey bee conservation management. Using an empirical dataset, we first assessed the accuracy of a recently developed reduced SNP panel to estimate C-lineage introgression in A. m. mellifera compared to whole-genome sequence (WGS) data. Using another independent data set, we estimated the differences in admixture proportions between the currently applied hybrid test based on microsatellites and the novel SNP test. We demonstrate that the SNP-based test which contains highly ancestry-informative markers is very efficient to estimate genome-wide ancestry. Furthermore, we report discrepancies between microsatellite and SNP-based admixture proportions. For conservation management, we, therefore, recommend the implementation of SNP-based hybrid tests to maintain high genetic variation within the breeding population, while minimizing influence of introduced honey bees.